Design & Statistics Core (DSC)

Link to Goldfeld, Keith profile page.
Full Name
Keith Goldfeld, DrPH, MS, MPA
Credentials
DrPH, MS, MPA
Role

Executive Committee, Design & Statistics Core (DSC)

Primary title
Associate Professor
Primary Institution
Department of Population Health, NYU Grossman School of Medicine
Complete Titles

Associate Professor, Department of Population Health, NYU Grossman School of Medicine

Bio
Keith Goldfeld, DrPH, MS, MPA, is a biostatistician interested in health services research, cluster randomized trials, and causal inference for secondary data analysis. His current research involves collaborations in palliative care, geriatric care, and addiction. At the Mailman School of Public Health at Columbia University, where he completed his DrPH, Dr. Goldfeld’s research explored methodologies for analyzing treatment strategies for nursing home residents with dementia at the end-of-life. He is currently collaborating on an NIH-funded study to evaluate an intervention designed to improve the quality of care provided to patients living with dementia. In addition, he developed simstudy, an R software package that enables researchers, teachers, and students to easily generate simulated study data for a broad range of study designs. The package and how to use it are described in his blog, ouR data generation.
Core/Team Associations
Link to Gutman, Roee profile page.
Full Name
Roee Gutman, PhD
Credentials
PhD
Role

Executive Committee, Design & Statistics Core (DSC)

Primary title
Associate Professor of Biostatistics
Primary Institution
Brown University School of Public Health
Complete Titles

Associate Professor of Biostatistics, Brown University School of Public Health

Bio
Roee Gutman, PhD, is an associate professor in the Department of Biostatistics at Brown University. His areas of expertise are causal inference, file linkage, missing data, Bayesian analysis and their application to data sources in health services research. He brings vast experience in designing and analyzing randomized trials and secondary datasets from various sources (e.g., Medicare claims data, VA health data). He has been involved in many comparative effectiveness studies where he contributed in terms of the statistical theory and its implementation. Examples of such studies include a pragmatic trial to study the effect of video education in nursing homes on re-hospitalization rate (PROVEN), and a trial to investigate the effects of music & memory for patients with AD/ADRD. Dr. Gutman has also participated in analyzing the effects of amyloid scanning in the IDEAS Study, and in an extension study that examines caregivers’ reactions and experience to these scans (CARE IDEAS).
Core/Team Associations